From vanguard-frontier-agentic
Reviews marketing conversion flows (sign-up, upsell, free-trial, cancellation) for dark patterns violating FTC Section 5, Negative Option Rule, and state privacy laws.
How this skill is triggered — by the user, by Claude, or both
Slash command
/vanguard-frontier-agentic:marketing-conversion-flow-dark-pattern-reviewThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill reviews marketing conversion flow specifications — subscription sign-up, upsell interstitials, free-trial enrollment, and cancellation paths — for dark-pattern practices that invalidate consent or constitute unfair or deceptive acts under FTC Section 5, the FTC Negative Option Rule (ROSCA), the CPRA statutory dark-pattern definition (§ 1798.140(l)), and EU AI Act Article 5(1)(b). Dar...
This skill reviews marketing conversion flow specifications — subscription sign-up, upsell interstitials, free-trial enrollment, and cancellation paths — for dark-pattern practices that invalidate consent or constitute unfair or deceptive acts under FTC Section 5, the FTC Negative Option Rule (ROSCA), the CPRA statutory dark-pattern definition (§ 1798.140(l)), and EU AI Act Article 5(1)(b). Dark patterns in conversion flows are a distinct and high-priority regulatory surface: pre-checked auto-renew boxes, asymmetric cancel vs. subscribe step counts, artificial countdown timers, and visually suppressed decline paths have drawn FTC enforcement, FTC rules with click-to-cancel mandates, and CPRA enforcement advisories. This skill works from a sanitized UX flow specification or annotated wireframe only. It does not review consent banners — that is the domain of marketing-consent-data-collection-review.
Load these only when needed:
Return, at minimum:
npx claudepluginhub raishin/vanguard-frontier-agentic --plugin vanguard-frontier-agenticAudits e-commerce, subscription, and consent flows for deceptive UX patterns (Brignull taxonomy) and redesigns to eliminate manipulation while preserving conversion goals.
Reviews UX flows, data practices, and communication patterns to verify user consent is informed, voluntary, and meaningful. Use during design or implementation of checkout, onboarding, notifications, permissions, or ToS.
Audits A/B tests of cookie consent banners for GDPR/CNIL compliance, ensuring equal accept/reject ease and detecting dark patterns like visual asymmetry.